DataOps: Changing the world one organization at a time
Uncertain about the benefits of going data-driven? Not sure how to get there? Here's some advice from the people who built Facebook's data infrastructure
Read More →Planet analytics: big data, sustainability, and environmental impact
What is the relation between big data applications and sustainability? What is the net effect of improved efficiency versus increased resource consumption, who gets to measure this, and how?
Read More →Language agnostic document processing: Finding relations using statistics, machine learning, and graphs
Would you like to be able to find related work regardless of domain or language, more efficiently than you ever thought possible? Omnity is out to help achieve this, using a mix of techniques.
Read More →Data Works, Hadoop 3.0 is round the corner, and ‘Horton Hatches the Egg’
What's coming in Hadoop 3.0? How is Hortonworks' strategy evolving? And what are some examples of open-source powered innovation in big data use cases?
Read More →LinkedIn: Machine learning is like oxygen, but the human element is not going away anytime soon
How do data and machine-learning powered algorithms work to control newsfeeds and spread stories? How much of that is automated, how much should you be able to understand and control, and where is it all headed? LinkedIn has answers.
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